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Table 3 pairwise comparison of predictions made by FAM and SVM for 369 GO functions in 4 cross-validation experiments. For each of the 369 GO functions, the performance of FAM and SVM are compared. "Win," "Tie" and "Lose" refer to the number of GO functions for which FAM's predictions are better than, tied with, or worse than that of SVM, respectively. The last row, denoted by "ACV," compares FAM and SVM using performance metrics which are averaged over the 4 cross-validation folds. As expected, this gives rise to fewer ties.

From: A factor analysis model for functional genomics

CV Fold

Sensitivity10%

Specificity10%

AUC

 

Win

Tie

Lose

Win

Tie

Lose

Win

Tie

Lose

1

106

168

95

107

167

95

193

2

174

2

87

181

101

88

183

98

177

1

191

3

104

171

94

109

166

94

186

3

180

4

90

193

86

92

192

85

199

6

164

ACV

184

36

146

194

34

141

201

0

168